% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35959 % Primary Name: CREEKSIDE % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.68330 +/- 0.00005 % Longitude: -79.20000 +/- 0.00005 % Elevation (m): 320.00 +/- 0.05 % # of Months: 128 % % IDs: coop - 361881 % ghcnd - USC00361881 % ncdc - 20016850 % nws - CRKP1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: fe77dc11dffb8b7cd3fbe048bfedc309 % Raw Data Hash: 2375569b12ddf7c6363566b3fe8f4a41 % Adj Data Hash: 11f5578329996778a88e7cadefd38ede % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1928 12 NaN NaN NaN NaN NaN NaN -1.099 1.058 1929 1 NaN NaN NaN NaN NaN NaN -5.599 -0.939 1929 2 NaN NaN NaN NaN NaN NaN -5.517 -1.830 1929 3 NaN NaN NaN NaN NaN NaN 4.687 3.154 1929 4 NaN NaN NaN NaN NaN NaN 9.443 1.369 1929 5 NaN NaN NaN NaN NaN NaN 12.481 -1.294 1929 6 NaN NaN NaN NaN NaN NaN 17.545 -0.861 1929 7 NaN NaN NaN NaN NaN NaN 19.852 -0.695 1929 8 NaN NaN NaN NaN NaN NaN 17.616 -2.213 1929 9 NaN NaN NaN NaN NaN NaN 17.090 0.956 1929 10 NaN NaN NaN NaN NaN NaN 8.361 -1.387 1929 11 NaN NaN NaN NaN NaN NaN 3.182 -0.763 1929 12 0.232 0.830 0 0 0.232 0.830 -1.870 0.288 1930 1 -0.461 2.639 0 0 -0.461 2.639 -3.797 0.863 1930 2 2.288 4.415 0 0 2.288 4.415 -0.518 3.170 1930 3 2.710 -0.384 0 0 2.710 -0.384 1.070 -0.463 1930 4 9.280 -0.355 0 0 9.280 -0.355 7.756 -0.319 1930 5 15.126 -0.209 0 0 15.126 -0.209 14.133 0.358 1930 6 18.690 -1.275 0 0 18.690 -1.275 18.310 -0.095 1930 7 21.016 -1.090 0 0 21.016 -1.090 20.645 0.098 1930 8 19.279 -2.110 0 0 19.279 -2.110 19.263 -0.566 1930 9 18.655 0.961 0 0 18.655 0.961 18.124 1.990 1930 10 9.116 -2.192 0 0 9.116 -2.192 8.572 -1.176 1930 11 5.145 -0.360 0 0 5.145 -0.360 4.339 0.394 1930 12 -1.444 -0.846 0 0 -1.444 -0.846 -3.518 -1.360 1931 1 NaN NaN NaN NaN NaN NaN -3.127 1.534 1931 2 NaN NaN NaN NaN NaN NaN -2.208 1.480 1931 3 1.889 -1.204 0 0 1.889 -1.204 0.375 -1.159 1931 4 8.389 -1.246 0 0 8.389 -1.246 7.582 -0.493 1931 5 14.667 -0.668 0 0 14.667 -0.668 13.307 -0.468 1931 6 18.944 -1.021 0 0 18.944 -1.021 18.359 -0.047 1931 7 22.556 0.449 0 0 22.556 0.449 22.059 1.512 1931 8 20.611 -0.778 0 0 20.611 -0.778 19.820 -0.009 1931 9 20.056 2.362 0 0 20.056 2.362 18.993 2.859 1931 10 12.833 1.525 0 0 12.833 1.525 11.192 1.444 1931 11 9.889 4.384 0 0 9.889 4.384 8.627 4.682 1931 12 3.778 4.375 0 0 3.778 4.375 1.426 3.583 1932 1 4.778 7.878 0 0 4.778 7.878 2.455 7.115 1932 2 2.444 4.572 0 0 2.444 4.572 -0.239 3.448 1932 3 1.667 -1.427 0 0 1.667 -1.427 -1.071 -2.605 1932 4 8.278 -1.357 0 0 8.278 -1.357 6.887 -1.188 1932 5 15.389 0.054 0 0 15.389 0.054 13.498 -0.277 1932 6 20.833 0.868 0 0 20.833 0.868 18.456 0.051 1932 7 21.444 -0.662 0 0 21.444 -0.662 19.923 -0.624 1932 8 21.222 -0.167 0 0 21.222 -0.167 19.762 -0.067 1932 9 18.333 0.640 0 0 18.333 0.640 16.810 0.676 1932 10 12.111 0.803 0 0 12.111 0.803 10.295 0.548 1932 11 3.833 -1.672 0 0 3.833 -1.672 2.891 -1.054 1932 12 0.556 1.153 0 0 0.556 1.153 -1.411 0.746 1933 1 2.556 5.656 0 0 2.556 5.656 0.654 5.314 1933 2 -0.944 1.183 0 0 -0.944 1.183 -2.926 0.762 1933 3 2.167 -0.927 0 0 2.167 -0.927 0.626 -0.908 1933 4 10.667 1.032 0 0 10.667 1.032 9.346 1.271 1933 5 16.778 1.443 0 0 16.778 1.443 14.749 0.974 1933 6 20.889 0.924 0 0 20.889 0.924 19.765 1.360 1933 7 22.222 0.116 0 0 22.222 0.116 20.662 0.116 1933 8 20.889 -0.500 0 0 20.889 -0.500 19.750 -0.079 1933 9 19.056 1.362 0 0 19.056 1.362 17.566 1.433 1933 10 10.889 -0.419 0 0 10.889 -0.419 9.060 -0.688 1933 11 2.889 -2.616 0 0 2.889 -2.616 2.221 -1.724 1933 12 0.778 1.375 0 0 0.778 1.375 -1.656 0.502 1934 1 0.444 3.545 0 0 0.444 3.545 -2.157 2.503 1934 2 -8.000 -5.872 0 0 -8.000 -5.872 -10.330 -6.643 1934 3 1.722 -1.371 0 0 1.722 -1.371 -0.232 -1.765 1934 4 9.333 -0.302 0 0 9.333 -0.302 7.862 -0.213 1934 5 16.111 0.776 0 0 16.111 0.776 14.855 1.080 1934 6 22.722 2.757 0 0 22.722 2.757 21.044 2.639 1934 7 23.667 1.560 0 0 23.667 1.560 22.192 1.646 1934 8 19.556 -1.834 0 0 19.556 -1.834 18.446 -1.383 1934 9 19.000 1.306 0 0 19.000 1.306 17.546 1.412 1934 10 10.889 -0.419 0 0 10.889 -0.419 9.300 -0.448 1934 11 6.222 0.717 0 0 6.222 0.717 5.941 1.996 1934 12 -1.556 -0.958 0 0 -1.556 -0.958 -3.102 -0.944 1935 1 -2.500 0.600 0 0 -2.500 0.600 -4.654 0.007 1935 2 -1.778 0.350 0 0 -1.778 0.350 -4.314 -0.626 1935 3 6.611 3.518 0 0 6.611 3.518 4.377 2.844 1935 4 7.778 -1.857 0 0 7.778 -1.857 6.721 -1.354 1935 5 12.667 -2.668 0 0 12.667 -2.668 10.880 -2.895 1935 6 19.056 -0.910 0 0 19.056 -0.910 17.473 -0.932 1935 7 23.500 1.394 0 0 23.500 1.394 21.872 1.326 1935 8 21.111 -0.278 0 0 21.111 -0.278 19.782 -0.048 1935 9 16.444 -1.249 0 0 16.444 -1.249 15.082 -1.052 1935 10 11.167 -0.141 0 0 11.167 -0.141 9.518 -0.230 1935 11 6.222 0.717 0 0 6.222 0.717 5.189 1.244 1935 12 -4.222 -3.625 0 0 -4.222 -3.625 -5.596 -3.438 1936 1 -5.000 -1.900 0 0 -5.000 -1.900 -7.159 -2.498 1936 2 NaN NaN NaN NaN NaN NaN -8.589 -4.902 1936 3 6.111 3.018 0 0 6.111 3.018 3.461 1.927 1936 4 7.111 -2.524 0 0 7.111 -2.524 5.871 -2.204 1936 5 16.000 0.665 0 0 16.000 0.665 14.909 1.134 1936 6 19.444 -0.521 0 0 19.444 -0.521 18.128 -0.277 1936 7 22.167 0.060 0 0 22.167 0.060 20.798 0.252 1936 8 22.000 0.611 0 0 22.000 0.611 21.012 1.182 1936 9 18.444 0.751 0 0 18.444 0.751 17.494 1.360 1936 10 11.722 0.414 0 0 11.722 0.414 10.330 0.582 1936 11 3.556 -1.949 0 0 3.556 -1.949 2.415 -1.530 1936 12 1.167 1.764 0 0 1.167 1.764 -1.285 0.873 1937 1 2.611 5.711 0 0 2.611 5.711 0.058 4.718 1937 2 -0.556 1.572 0 0 -0.556 1.572 -3.141 0.547 1937 3 0.444 -2.649 0 0 0.444 -2.649 -0.754 -2.287 1937 4 7.889 -1.746 0 0 7.889 -1.746 7.025 -1.050 1937 5 14.278 -1.057 0 0 14.278 -1.057 13.574 -0.201 1937 6 20.000 0.035 0 0 20.000 0.035 18.765 0.359 1937 7 21.556 -0.551 0 0 21.556 -0.551 20.455 -0.091 1937 8 22.111 0.722 0 0 22.111 0.722 21.402 1.573 1937 9 15.333 -2.360 0 0 15.333 -2.360 14.631 -1.503 1937 10 9.778 -1.530 0 0 9.778 -1.530 8.198 -1.550 1937 11 3.667 -1.838 0 0 3.667 -1.838 3.360 -0.585 1937 12 -2.722 -2.125 0 0 -2.722 -2.125 -4.008 -1.850 1938 1 -2.222 0.878 0 0 -2.222 0.878 -4.229 0.432 1938 2 1.889 4.017 0 0 1.889 4.017 -1.022 2.666 1938 3 6.333 3.240 0 0 6.333 3.240 4.275 2.741 1938 4 10.444 0.809 0 0 10.444 0.809 8.897 0.822 1938 5 14.333 -1.002 0 0 14.333 -1.002 12.973 -0.802 1938 6 18.444 -1.521 0 0 18.444 -1.521 17.437 -0.968 1938 7 21.944 -0.162 0 0 21.944 -0.162 20.726 0.179 1938 8 22.111 0.722 0 0 22.111 0.722 21.376 1.547 1938 9 15.778 -1.916 0 0 15.778 -1.916 15.099 -1.035 1938 10 10.667 -0.641 0 0 10.667 -0.641 10.676 0.928 1938 11 6.111 0.606 0 0 6.111 0.606 5.076 1.131 1938 12 -0.222 0.375 0 0 -0.222 0.375 -2.171 -0.013 1939 1 -0.333 2.767 0 0 -0.333 2.767 -3.066 1.594 1939 2 0.556 2.683 0 0 0.556 2.683 -2.113 1.575 1939 3 3.667 0.573 0 0 3.667 0.573 1.788 0.255 1939 4 8.556 -1.079 0 0 8.556 -1.079 6.447 -1.628 1939 5 16.778 1.443 0 0 16.778 1.443 15.199 1.424 1939 6 20.778 0.813 0 0 20.778 0.813 19.148 0.743 1939 7 21.000 -1.106 0 0 21.000 -1.106 19.841 -0.705 1939 8 21.889 0.500 0 0 21.889 0.500 20.836 1.007 1939 9 NaN NaN NaN NaN NaN NaN 17.269 1.136 1939 10 NaN NaN NaN NaN NaN NaN 10.341 0.593 1939 11 3.944 -1.561 0 0 3.944 -1.561 2.889 -1.056 1939 12 1.111 1.709 0 0 1.111 1.709 -0.942 1.216 1940 1 -8.111 -5.011 0 0 -8.111 -5.011 -10.099 -5.439 1940 2 -1.556 0.572 0 0 -1.556 0.572 -4.238 -0.550 1940 3 0.333 -2.760 0 0 0.333 -2.760 -1.895 -3.428 1940 4 8.222 -1.413 0 0 8.222 -1.413 5.896 -2.179 1940 5 15.111 -0.224 0 0 15.111 -0.224 12.932 -0.843 1940 6 20.556 0.590 0 0 20.556 0.590 18.143 -0.262 1940 7 22.722 0.616 0 0 22.722 0.616 20.249 -0.297 1940 8 20.667 -0.723 0 0 20.667 -0.723 18.665 -1.164 1940 9 16.222 -1.472 0 0 16.222 -1.472 14.651 -1.482 1940 10 10.222 -1.086 0 0 10.222 -1.086 8.333 -1.415 1940 11 5.111 -0.394 0 0 5.111 -0.394 3.839 -0.106 1940 12 5.837 6.434 1 0 NaN NaN 0.213 2.371 1941 1 NaN NaN NaN NaN NaN NaN -4.657 0.003 1941 2 NaN NaN NaN NaN NaN NaN -5.905 -2.217 1941 3 NaN NaN NaN NaN NaN NaN -2.064 -3.597 1941 4 NaN NaN NaN NaN NaN NaN 11.265 3.190 1941 5 NaN NaN NaN NaN NaN NaN 13.983 0.208 1941 6 NaN NaN NaN NaN NaN NaN 18.670 0.265 1941 7 NaN NaN NaN NaN NaN NaN 21.069 0.522 1941 8 NaN NaN NaN NaN NaN NaN 18.378 -1.452 1941 9 NaN NaN NaN NaN NaN NaN 17.257 1.123 1941 10 NaN NaN NaN NaN NaN NaN 11.929 2.181 1941 11 NaN NaN NaN NaN NaN NaN 5.474 1.529 1941 12 NaN NaN NaN NaN NaN NaN 0.074 2.232